Wide Residual Networks

Benchmark Model Rank Results
image-classification-on-cifar-100Wide ResNet#116Percentage correct: 81.15
image-classification-on-imagenetWRN-50-2-bottleneck#800Top 1 Accuracy: 78.1%
image-classification-on-svhnWide Residual Networks#11Percentage error: 1.54
image-classification-on-svhnWide ResNet#18Percentage error: 1.7